For a given two-dimensional object with rownames and a character
add_zero produces a corresponding object whose rownames match
the character vector, with zeros on the additional rows.
This function is an easy-to-use and reliable way to reintroduce non-responding units in the variance estimation process (after the non-response phase is taken into account).
add_zero(y, rownames, remove = TRUE)
A (sparse) matrix or a data.frame. The object to add zeros to.
A character vector (other types are coerced to character). The character vector giving the rows of the produced object.
Should rows of
A (sparse) matrix or data.frame depending on the type of
# Data generation set.seed(1) n <- 10 p <- 2 y <- matrix(1:(n*p), ncol = p, dimnames = list(sample(letters, n))) y[c(3, 8, 12)] <- NA rownames <- letters # Standard use add_zero(y, rownames) # Use when rownames in y do not match # any element in the rownames argument rownames(y)[1:3] <- toupper(rownames(y)[1:3]) add_zero(y, rownames) add_zero(y, rownames, remove = FALSE)
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